0.16.0
Home
Installation
How to use this guide
Getting started
Support
User Guide
Tutorials
getML suite
Managing projects
Importing data
Annotating data
Data model
Preprocessing
Feature engineering
Predicting
Hyperparameter optimization
Deployment
API Documentation
Python API
Project management
Data handling
Database
Demo datasets
getML engine
Preprocessors
Feature learning
FastPropModel
FastPropTimeSeries
MultirelModel
MultirelTimeSeries
RelboostModel
RelboostTimeSeries
validate
allow_lagged_targets
allow_null_weights
delta_t
gamma
horizon
loss_function
max_depth
memory
min_df
min_num_samples
num_features
num_subfeatures
num_threads
propositionalization
reg_lambda
sampling_factor
seed
shrinkage
silent
ts_name
type
use_timestamps
vocab_size
RelMTModel
RelMTTimeSeries
aggregations
Predictors
Pipeline
Hyperopt
Command line interface
About
getML
Docs
»
Python API
»
getml.feature_learning
»
RelboostTimeSeries
»
min_df
min_df
¶
RelboostTimeSeries.
min_df
:
int
=
30
¶